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Learning Kalman Filter Implementation in Simulink(R)

by Roger Aarenstrup

 

13 Jul 2010 (Updated 16 Jul 2010)

Three different implementations of a kalman filter in Simulink(R).

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Description

The models included shows three different ways to implement a kalman filter in Simulink(R). The first uses the kalman function in control system toolbox to design a steady state kalman filter. The second is an embedded MATLAB(R) block implementation. The third is an implementation is pure basic Simulink(R) blocks. The last two implementations include calculation of the kalman gain.
Use these models to learn about the kalman filter and how it can be implemented in Simulink(R). The filter is applied to a linear five-state dc motor model.

Required Products Simulink
MATLAB release MATLAB 7.10 (2010a)
Other requirements Control system toolbox is needed for one of the filters.
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Comments and Ratings (3)
20 Dec 2011 ehs  
06 Apr 2012 zhou jianshan

Thank you for your sharing, thanks very much!

15 Apr 2012 Hua Ji

thanks for the uploading, it is very useful.

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Updates
16 Jul 2010

Updated copyrights

Tag Activity for this File
Tag Applied By Date/Time
kalman filter Roger Aarenstrup 16 Jul 2010 11:08:53
dc motor Roger Aarenstrup 16 Jul 2010 11:08:53
state estimate Roger Aarenstrup 16 Jul 2010 11:08:53
filter analysis Roger Aarenstrup 16 Jul 2010 11:08:53
filter design Roger Aarenstrup 16 Jul 2010 11:08:53
simulation Roger Aarenstrup 16 Jul 2010 11:08:53
simulink Roger Aarenstrup 16 Jul 2010 11:08:53
control systems Roger Aarenstrup 16 Jul 2010 11:08:53
control systems yunchuan wang 03 Jul 2011 22:29:32
dc motor yunchuan wang 03 Jul 2011 22:29:33
filter analysis yunchuan wang 03 Jul 2011 22:29:38
filter design yunchuan wang 03 Jul 2011 22:29:41
kalman filter yunchuan wang 03 Jul 2011 22:29:43
simulation yunchuan wang 03 Jul 2011 22:29:44
simulink yunchuan wang 03 Jul 2011 22:29:45
state estimate yunchuan wang 03 Jul 2011 22:29:48

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